medtech-model-evidence-export SKILL.md skillA

medtech-model-evidence-export from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/medtech-model-evidence-export@git:20260915.2cd3507

Pins git:20260915.2cd3507 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/medtech-model-evidence-export/SKILL.md
Versions recorded
2
Latest version
git:20260915.2cd3507, committed Sep 15, 2026
First version recorded
Aug 31, 2026
Size
5,140 bytes
Repository stars
3,871
License
Apache-2.0

Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow. Use after inference, including NV-Generate runs; not for live training tracking, model registration, or clinical use.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Medtech Model Evidence Export to MLflow

## Purpose

Mirror an existing medical-inference result or evidence pack into MLflow after
the run and emit the `export_result` JSON contract. Keep the original evidence
pack as the source of truth. Training skills should add MLflow inside their
training loops instead.

## Instructions

1. Run `scripts/export_evidence_pack.py` in the default `dry-run` mode.
2. Inspect `params`, `metrics`, `artifact_plan`, and `mlflow.note.content`.
3. Choose `--mode local` or `--mode databricks` only after checking the target.
4. Keep `--artifact-policy metadata` unless the target is approved for images.
5. For `preview` or `all` in a live mode, also pass
   `--confirm-medical-artifact-upload`.
6. Keep `--source-ref`, `--note`, config filenames, and artifact filenames free
   of patient or secret identifiers; always review the dry-run output first.

Hosts with a script helper can use
`run_script("scripts/export_evidence_pack.py", args=["PACK_OR_RESULT", "--mode", "dry-run"])`.

## Available Scripts

| Script | Purpose | Arguments |
|---|---|---|
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/medtech-model-evidence-export@sha256:fed83201656a6c8b

The line at the top of this page pins the label git:20260915.2cd3507, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_w45skhr726jkvp7v.svg)](https://markdownregistry.com/a/art_w45skhr726jkvp7v)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Aug 31, 2026 and Sep 15, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
git:20260915.2cd3507 latest2026-09-15 2cd3507 5,140 BA view · diff
git:20260831.b459e6c2026-08-31 b459e6c 5,140 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5140 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_w45skhr726jkvp7v
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/medtech-model-evidence-export
GET https://markdownregistry.com/api/v1/blob/fed83201656a6c8b24ebf1df9c012875c59a3746455f31d0ad18114ef8fd8101

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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